tensorboard 1.14.0 on Python PyPI

Features

New hyperparameters dashboard: see tutorial and demo and
summary APIs
New dashboard for visualizing meshes and point clouds: see
README
Graph dashboard now shows Keras conceptual graph: see tutorial and
demo
Embedding projector now supports the UMAP dimensionality reduction
algorithm (learn more about UMAP here) (#1901) -
thanks @cannoneyed
TensorBoard notebook support is stabilized: in a Colab or
Jupyter notebook, run %load_ext tensorboard followed by %tensorboard --logdir ./path/to/logs
Profile dashboard improvements:
- New pod viewer tool to analyze TPU performance (#2111)
- Now allows capturing profiles from TensorBoard (#1894)
What-If Tool improvements:
- Now available as a notebook widget for Jupyter and Colab: see
  demo
- Now shows PR curves and F1 score (#2264)
- Now supports Cloud AI Platform, including XGBoost models (#2194)
- Now shows feature-level attributions for individual predictions, as
  applicable (#2252)
Image dashboard now allows scrolling for large images (#2164) - thanks @lr1d
Scalar chart smoothing now caps at 0.999 for convenience (#1974) - thanks
@flostim
Scalar chart scroll-to-zoom behavior now requires holding Alt (#2221)
tensorboard now supports a --version command line argument (#2097) -
thanks @shashvatshahi1998
Python API now defines tensorboard.__version__ in addition to
tensorboard.version.VERSION (#2026)

Projector metadata card now formats long words properly (PR #2016) - thanks
@makseq
#2010 - .tensorboard-info is now world-writable for multi-user *nix systems
(PR #2131)
#1989 - importlib.reload(tensorboard) now works properly (PR #2005)